arrays = 2*[0]
for j in range(2):
outdir = odir[j]
bindir = outdir+'/binaries'
if OPT==1:
# Look at initial fields:
ice_fields,wave_fields = Fdat.fn_check_init(bindir) # load initial conditions from binaries
arrays[j] = ice_fields
arrays[j].update(wave_fields)
elif OPT==2:
# Look at end results:
out_fields = Fdat.fn_check_out_bin(bindir)
arrays[j] = out_fields
elif OPT==3:
# Plot progress files (if they exist)
# - as colormaps
prog_files = os.listdir(bindir+'/prog')
steps = []
for pf in prog_files:
if '.a'==pf[-2:]:
stepno = pf.strip('wim_prog').strip('.a')
steps.append(stepno)
print('Available time steps:')
print(steps)
def plot_simulation(outdir=".", infile_grid=None, PLOT_INIT=0, PLOT_PROG_OPT=0):
import numpy as np
import os
import sys
import shutil
import struct
# import matplotlib.rcsetup as rc
##
## NB run from 'run' directory !!
##
w2d = os.getenv("WIM2D_PATH")
dd = w2d + "/fortran"
sys.path.append(dd + "/bin")
sys.path.append(dd + "/py_funs")
import fns_get_data as Fdat
import fns_plot_data as Fplt
# Make plots
bindir = outdir + "/binaries" # wim_init.[ab],wim_out.[ab],"prog" directory with wim_prog???.[ab]
figdir = outdir + "/figs" # where to save files
if infile_grid is None:
grid_prams = Fdat.fn_check_grid(bindir) # load grid from binaries
# dictionary with X,Y,...
else:
import fns_grid_setup as gs
# TODO read in infile_grid.txt
x0 = 0.0
y0 = 0.0
nx = 150
ny = 4
dx = 4.0e3
dy = 40.0e3
LAND_OPT = 0 # no land
grid_arrays, grid_prams = gs.get_grid_arrays(x0=x0, y0=y0, nx=nx, ny=ny, dx=dx, dy=dy, LAND_OPT=LAND_OPT)
##########################################################################
if PLOT_INIT == 1:
# Look at initial fields:
print("Plotting initial conditions...")
ice_fields, wave_fields = Fdat.fn_check_init(bindir) # load initial conditions from binaries
#
figdir1 = figdir + "/init/"
Fplt.fn_plot_init(grid_prams, ice_fields, wave_fields, figdir1) # plot initial conditions
print("Plots in " + figdir + "/init")
print(" ")
##########################################################################
################################################################
# Look at end results:
out_fields = Fdat.fn_check_out_bin(bindir)
print("Plotting results...")
figdir2 = figdir + "/final/"
Fplt.fn_plot_final(grid_prams, out_fields, figdir2)
print("Plots in " + figdir2 + "\n")
print(" ")
################################################################
if PLOT_PROG_OPT == 1:
################################################################
# Plot progress files (if they exist)
# - as colormaps
figdir3 = figdir + "/prog"
prog_files = os.listdir(bindir + "/prog")
steps = []
for pf in prog_files:
if ".a" == pf[-2:]:
stepno = pf[-5:-2]
steps.append(stepno)
# make dir for progress plots
if (not os.path.exists(figdir3)) and len(steps) > 0:
os.mkdir(figdir3)
# clear old progress plots
old_dirs = os.listdir(figdir3)
for od in old_dirs:
# need this for macs
if od != ".DS_Store":
# os.rmdir(figdir3+'/'+od)
shutil.rmtree(figdir3 + "/" + od)
for stepno in steps:
print("Plotting results at time step " + stepno + " ...")
prog_fields = Fdat.fn_check_prog(outdir, int(stepno))
figdir3_0 = figdir3 + "/" + stepno
Fplt.fn_plot_final(grid_prams, prog_fields, figdir3_0)
print("Plots in " + figdir3_0 + "\n")
################################################################
print(" ")
print("To make a movie of progress images:")
print("cd " + figdir + "/prog")
print(dd + "/tools/prog2mp4.sh Hs (or Dmax,taux,tauy)")
elif PLOT_PROG_OPT == 2:
################################################################
# Plot progress files (if they exist)
# - as profiles
steps2plot = range(0, 600, 40)
# steps2plot = range(0,140,40)
cols = ["k", "b", "r", "g", "m", "c"]
lstil = ["-", "--", "-.", ":"]
Nc = len(cols)
loop_c = -1
loop_s = 0
for nstep in steps2plot:
out_fields = Fdat.fn_check_prog(outdir, nstep) # load ice/wave conditions from binaries
Hs_n = out_fields["Hs"]
#
if loop_c == Nc - 1:
loop_c = 0
loop_s = loop_s + 1
else:
loop_c = loop_c + 1
fig = Fplt.plot_1d(xx, Hs_n, labs=labs, f=fig, color=cols[loop_c], linestyle=lstil[loop_s])
#
figname = figdir + "/convergence2steady.png"
print("saving to " + figname + "...")
plt.savefig(figname, bbox_inches="tight", pad_inches=0.05)
plt.close()
fig.clf()
diff_max = diff.max()
diff_min = diff.min()
#
ss = ' max/min |difference|: %f %f' % (diff_max,diff_min)
print(' '+key+Key[len(key):]+ss)
for key in wf1.keys():
diff = np.abs(wf1[key]-wf2[key])
diff_max = diff.max()
diff_min = diff.min()
#
ss = ' max/min |difference|: %f %f' % (diff_max,diff_min)
print(' '+key+Key[len(key):]+ss)
elif 1:
# check out fields are the same
print('Checking final fields are the same...')
##
of1 = Fdat.fn_check_out_bin(bindir1)
of2 = Fdat.fn_check_out_bin(bindir2)
Key = ' '
for key in of1.keys():
diff = np.abs(of1[key]-of2[key])
diff_max = diff.max()
diff_min = diff.min()
#
ss = ' max/min |difference|: %f %f' % (diff_max,diff_min)
print(' '+key+Key[len(key):]+ss)
##########################################################################
print("Getting inputs/outputs from binaries...")
print(" ")
## look at initial fields:
print("Plotting initial conditions...")
grid_prams = Fdat.fn_check_grid(outdir) # load grid from binaries
ice_fields, wave_fields = Fdat.fn_check_init(outdir) # load initial conditions from binaries
##
figdir = outdir + "/figs/"
Fplt.fn_plot_init(grid_prams, ice_fields, wave_fields, figdir) # plot initial conditions
print("Plots in " + figdir + "/init")
print(" ")
## look at results:
print("Plotting results...")
out_fields = Fdat.fn_check_out_bin(outdir)
# Fplt.fn_plot_final(grid_prams,out_fields,figdir)
Fplt.fn_plot_final_V1d(grid_prams, Tp_vec, out_fields, figdir)
print("Plots in " + figdir + "/final")
elif 0:
# plot results from outputs:
## look at initial fields:
print("Plotting initial conditions...")
figdir = outdir + "/figs/"
Fplt.fn_plot_init(grid_prams, ice_fields, wave_fields, figdir) # plot initial conditions
print("Plots in " + figdir + "/init")
print(" ")
## look at results:
print("Plotting results...")
def do_run_vSdir(sdf_dir=None,
wave_fields=None,ice_fields=None,
params_in={},mesh_e=None):
dd = os.path.abspath("..")
sys.path.append(dd+"/bin")
sys.path.append(dd+"/py_funs")
RUN_OPT = 0
run_dict = {
0: 'run "vSdir", passing directional spectrum in/out'}
print("###################################################")
print("Run option:")
print(" "+str(RUN_OPT)+' : '+run_dict[RUN_OPT])
print("###################################################")
TEST_IN_SPEC = 0 # check Hs,Tp,mwd calc'd from input spec
TEST_OUT_SPEC = 0 # check Hs,Tp calc'd from output spec
# check directories for outputs exist
if mesh_e is None:
outdir = 'out_py_io_2'
else:
outdir = 'out_py_io_3'
dirs = [outdir,
outdir+'/diagnostics',
outdir+'/diagnostics/global',
outdir+'/diagnostics/local',
outdir+'/binaries',
outdir+'/binaries/prog']
# tell fortran where to save the outputs
ifd_name = 'infile_dirs.txt'
fid = open(ifd_name,'w')
fid.write('grid\n')
fid.write(outdir+'\n')
fid.close()
for j in range(0,len(dirs)):
dirj = dirs[j]
if not os.path.exists(dirj):
os.makedirs(dirj)
# clear out old progress files
dd = os.path.abspath(outdir+"/binaries/prog")
files = os.listdir(dd)
for f in files:
os.remove(dd+"/"+f)
# run wim2d with inputs and outputs
param_dict = default_params()
for key in params_in:
if key not in param_dict:
raise ValueError('Parameter '+key+'invalid')
else:
param_dict[key] = params_in[key]
param_vec = param_dict2vec(param_dict)
# dimensions of grid
nx,ny,nfreq,ndir = Fwim.wim2d_dimensions()
freq_vec = Fwim.wim2d_freq_vec(nfreq)
if ice_fields is not None:
# 'ice_fields' is given as input
# - put data into 'ice_arrays':
keys = ['icec','iceh','dfloe']
ice_arrays = np.zeros((nx,ny,len(keys)))
n = 0
for key in keys:
ice_arrays[:,:,n] = ice_fields[key]
n = n+1
del ice_fields
else:
raise ValueError("No 'ice_fields' input")
if sdf_dir is None:
if wave_fields is not None:
# 'wave_fields' is given as input
# instead of sdf_dir
Hs = wave_fields['Hs']
Tp = wave_fields['Tp']
mwd = wave_fields['mwd']
#
Tmean = np.mean(Tp [Hs>0])
dir_mean = np.mean(mwd[Hs>0])
if nfreq==1:
# check only 1 freq
stdev = np.std( Tp[Hs>0])
if stdev/Tmean>1.e-3:
print('Expected one frequency, but')
print('std dev (Tp) = '+str(stdev)+'s')
print('mean (Tp) = '+str(Tmean) +'s')
raise ValueError('Tp array not consistent with 1 frequency')
if ndir==1:
# check only 1 dir
stdev = np.std (mwd[Hs>0])
if stdev/dir_mean>1.e-3:
print('Expected one direction, but')
print('std dev (mwd) = '+str(stdev)+'degrees')
print('mean (mwd) = '+str(dir_mean) +'degrees')
raise ValueError('mwd array not consistent with 1 direction')
sdf_dir = np.zeros((nx,ny,ndir,nfreq))
PI = np.pi
for i in range(nx):
for j in range(ny):
if Hs[i,j]>0:
if nfreq==1:
# use single freq formula: S=A^2/2
sdf_dir[i,j,:,:] = pow(Hs[i,j]/4.0,2)
else:
# use Bretschneider
for w in range(nfreq):
om = 2*PI*freq_vec[w]
sdf_dir[i,j,:,w] = Fmisc.SDF_Bretschneider(om)
if ndir>1:
theta_max = 90.0
theta_min = -270.0
dtheta = (theta_min-theta_max)/float(ndir) #<0
wavdir = theta_max+np.arange(ndir)*dtheta
# modify spectrum depending on direction
D2R = np.pi/180.
# test_sum = 0.
# test_sum_ = 0.
for wth in range(ndir):
theta_fac_ = Fmisc.theta_dirfrac(wavdir[wth]-.5*abs(dtheta),abs(dtheta),mwd[i,j])/abs(D2R*dtheta)
# chi = PI/180.0*(wavdir[wth]-mwd[i,j])
# if (np.cos(chi)>0.0):
# theta_fac = 2.0/PI*pow(np.cos(chi),2)
# else:
# theta_fac = 0.0
sdf_dir[i,j,wth,:] = sdf_dir[i,j,wth,:]*theta_fac_
# test_sum += theta_fac_
# test_sum_ += theta_fac_
# print(wavdir[wth],wavdir[wth]-.5*abs(dtheta),dtheta,mwd[i,j],theta_fac,theta_fac_)
# print(test_sum*abs(dtheta),test_sum_*abs(dtheta))
# sys.exit()
if 0:
# test spectrum is defined OK
sq = np.squeeze(sdf_dir[i,j,:,0])
m0 = np.sum(sq)*abs((PI/180.)*dtheta)
print(i,j)
print(4*np.sqrt(m0),Hs[i,j])
#
plt.plot(wavdir/180.,sq)
plt.show()
#
sys.exit()
if TEST_IN_SPEC:
# test integrals of spectrum are the same as intended:
print('Testing input spectrum...')
wave_fields2 = {'Hs':0,'Tp':0,'mwd':0}
if nfreq==1:
freq_vec_ = np.array([1./Tp_single_freq])
else:
freq_vec_ = freq_vec
if ndir==1:
wavdir_ = np.array([mwd_single_dir])
else:
wavdir_ = wavdir
(wave_fields2['Hs'],
wave_fields2['Tp'],
wave_fields2['mwd']
) = Fmisc.spectrum_integrals(
sdf_dir,freq_vec_,wavdir_)
arrays = [wave_fields2,wave_fields]
keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
sys.exit()
del wave_fields # finished setting sdf_dir from wave_fields
else:
raise ValueError("No wave inputs (need 'sdf_dir' or 'wave_fields')")
# now run the WIM
print(" ")
print("###################################################")
print("Running WIM with sdf_dir inputted")
print("###################################################")
print(" ")
sdf_dir = sdf_dir.reshape(sdf_dir.size,order='fortran')
sdf_dir = np.array(sdf_dir,dtype='float32')
print(param_vec)
if mesh_e is None:
sdf_dir2,out_arrays = Fwim.py_wim2d_run_vsdir(
sdf_dir,ice_arrays,param_vec,ndir,nfreq)
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_vSdir:")
print("###################################################")
print(" ")
else:
# mesh_e=dictionary with keys ['x','y','conc','thick','Nfloes','broken']
# > convert this to array
nmesh_vars = len(mesh_e)
mesh_arr = mesh_dict2arr(mesh_e,inverse=False)
nmesh_e = len(mesh_arr[:,0])
# print(mesh_arr.transpose())
# sys.exit()
# reshape array to a vector
mesh_arr = mesh_arr.reshape(
(nmesh_e*nmesh_vars,),order='fortran')
# run WIM, with interpolation of Nfloes onto the mesh
out = Fwim.py_wim2d_run_vsdir_mesh(
sdf_dir,ice_arrays,mesh_arr,
param_vec,ndir,nfreq,nmesh_e)
sdf_dir2,out_arrays,mesh_arr = out
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_vSdir_mesh:")
print("###################################################")
print(" ")
mesh_arr = mesh_arr.reshape((nmesh_e,nmesh_vars),order='fortran')
mesh_e = mesh_dict2arr(mesh_arr,inverse=True)
# print(mesh_arr.transpose())
sdf_dir2 = sdf_dir2.reshape((nx,ny,ndir,nfreq),order='fortran')
# Dmax = out_arrays[:,:,0]
# Hs = out_arrays[:,:,1]
# Tp = out_arrays[:,:,2]
# tau_x = out_arrays[:,:,3]
# tau_y = out_arrays[:,:,4]
# mwd = out_arrays[:,:,5]
# convert out_arrays to dictionary
out_fields = Fdat.fn_check_out_arr(out_arrays)
del out_arrays
if TEST_OUT_SPEC:
# test integrals of spectrum are the same as intended:
print('Testing integrals of output spectrum...')
wave_fields2 = {'Hs':0,'Tp':0,'mwd':0}
if nfreq==1:
Tp_single_freq = param_dict['T_init']
freq_vec_ = np.array([1./Tp_single_freq])
else:
freq_vec_ = freq_vec
if ndir==1:
mwd_single_dir = param_dict['mwd_init']
wavdir_ = np.array([mwd_single_dir])
else:
wavdir_ = wavdir
(wave_fields2['Hs'],
wave_fields2['Tp'],
wave_fields2['mwd']
) = Fmisc.spectrum_integrals(
sdf_dir2,freq_vec_,wavdir_)
arrays = [wave_fields2,out_fields]
keys = ['Hs','Tp']
# keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
if 1:
# plot Tp for visual comparison
# - small differences?
gf = Fdat.fn_check_grid('inputs')
labs = ['$x$, km','$y$, km', '$T_p$, s']
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
wave_fields2['Tp'],
labs)
f.show()
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
out_fields['Tp'],
labs)
f.show()
if 0:
# plot Hs for visual comparison
gf = Fdat.fn_check_grid('inputs')
labs = ['$x$, km','$y$, km', '$H_s$, m']
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
wave_fields2['Hs'],
labs)
f.show()
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
out_fields['Hs'],
labs)
f.show()
sys.exit()
elif 0:
# test out_fields are the same as in the binary files
print('Testing output fields against binary files...')
arrays = 2*[1]
arrays[0] = out_fields
arrays[1] = Fdat.fn_check_out_bin('out_2/binaries')
keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
sys.exit()
return out_fields,Fdat.wim_results(outdir),mesh_e
